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Optimization of Software Estimation Models
Dezember IT GmbH, Germany.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA;DSIQ)ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA;DSIQ)ORCID iD: 0000-0002-7565-3714
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA;DSIQ)ORCID iD: 0000-0002-0835-823X
2019 (English)In: Proceedings of the 14th International Conference on Software Technologies - Volume 1 / [ed] VanSinderen, M; Maciaszek, L, SciTePress, 2019, p. 141-150Conference paper, Published paper (Refereed)
Abstract [en]

In software engineering, estimations are frequently used to determine expected but yet unknown properties of software development processes or the developed systems, such as costs, time, number of developers, efforts, sizes, and complexities. Plenty of estimation models exist, but it is hard to compare and improve them as software technologies evolve quickly. We suggest an approach to estimation model design and automated optimization allowing for model comparison and improvement based on commonly collected data points. This way, the approach simplifies model optimization and selection. It contributes to a convergence of existing estimation models to meet contemporary software technology practices and provide a possibility for selecting the most appropriate ones.

Place, publisher, year, edition, pages
SciTePress, 2019. p. 141-150
Keywords [en]
Estimation models, Optimization, Software engineering, Cost engineering, Automated optimization, Data points, Model comparison, Model optimization, Software development process, Software estimation, Software technology, Software design
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-88137DOI: 10.5220/0008117701410150ISI: 000572825100012Scopus ID: 2-s2.0-85073108474ISBN: 9789897583797 (print)OAI: oai:DiVA.org:lnu-88137DiVA, id: diva2:1344257
Conference
14th International Conference on Software Technologies, ICSOFT, July 26-28, 2019, Prague, Czech Republic
Funder
Knowledge Foundation, 20150088Available from: 2019-08-20 Created: 2019-08-20 Last updated: 2020-10-23Bibliographically approved

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fulltext(5283 kB)426 downloads
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Ericsson, MorganLöwe, WelfWingkvist, Anna

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